Re: OT: interesting global warming quote found elsewhwere

Martin Brown wrote:
Joerg wrote:
Don Klipstein wrote:
In <0fe8e29c-8727-491d-b7db-ad7eff16768e@xxxxxxxxxxxxxxxxxxxxxxxxxxx>, Richard Henry wrote:

On Aug 11, 11:35 am, Joerg <notthisjoerg...@xxxxxxxxxxxxxxxxxxxxx>
wrote:
Martin Brown wrote:
Don Klipstein wrote:
In article <5bb5b$489c0361$29...@xxxxxxxxxxxxxxxxx>, Martin Brown wrote:
DOE have tried more than once to have Keelings CO2 monitoring station
at Hawaii defunded because the hard evidence was inconvenient. It is
the longest continuous CO2 monitoring record we have.
Does this have anything to do with the following link having lack of
published data after 2004?
http://cdiac.ornl.gov/ftp/trends/co2/maunaloa.co2
No. You are just looking at a particular archived copy there.
Current data are online at Scripps (lags by a few months).
http://scrippsco2.ucsd.edu/data/flask_co2_and_isotopic/monthly_co2/mo...

Now that's how data should be published. Just the data, nothing else,
and with names attached to it.
Just the data? Read the notes in lines 39-51.

Those lines explain seasonal adjustment and another filter, and methodology for getting filtered output through gaps in the raw data.

The "raw data" (determination of CO2 concentration for the month without seasonal adjustment) is shown in column 5.

I think it's reasonable to show how the data looks with reasonable filtering, such as subtracting the AC signal component with period of 1 year. Especially if the unfiltered data is also shown.
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Bingo! Your last sentence says it all.

These 1-D data are relatively easy to interpret. But most bulk raw data is not - even for experts. Think about PET scans or MRI for example.

Some of the experiments I have done produced so much data and all in the Fourier domain that noone could ever hope to look at it all manually let alone "check it". You could write a program though. At the time my datasets were pushing the limits. Calibrate and process it with a Fourier transform or a better inverse method and the image becomes obvious. Unless the target image is very simple not even an expert can do a mental Fourier inverse by looking at the raw data.

Then there is still the problem of displaying an image with huge dynamic range on the printed page with a limited 80:1 contrast ratio if you are lucky (we never really solved that one).


Sure, but something like sea levels aren't that difficult. You need to run some long averaging. But my request for the raw data was not honored. Which I kind of expected.

--
Regards, Joerg

http://www.analogconsultants.com/

"gmail" domain blocked because of excessive spam.
Use another domain or send PM.
.

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